Fetching the paper…
Reading the bibliography…
The placenta is a complex organ, playing multiple roles during fetal development.
“Quantification of histochemical staining by color deconvolution”
Arnout Ruifrok and Dennis Johnston · 2001
Earlier work this paper cites.
“Unsupervised color decomposition of histologically stained tissue samples”
Andrew Rabinovich et al · 2004
Earlier work this paper cites.
“Sequential expression of VEGF and its receptors in human placental villi during very early pregnancy: differences between placental vasculogenesis and angiogenesis”
R Demir et al · 2004
Earlier work this paper cites.
“CellProfiler: image analysis software for identifying and quantifying cell phenotypes”
Anne Carpenter et al · 2006
Earlier work this paper cites.
“Visualizing data using t-SNE”
Laurens van Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
“Histopathological image analysis: A review”
Metin Gurcan et al · 2009
Earlier work this paper cites.
“Imagenet: A large-scale hierarchical image database”
Jia Deng et al · 2009
Earlier work this paper cites.
“Placental surface shape, function, and effects of maternal and fetal vascular pathology”
Carolyn Salafia et al · 2010
Earlier work this paper cites.
“Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images”
Mitko Veta et al · 2011
Earlier work this paper cites.
“Heterogenecity of fibroblasts”
P Manyam, K Manjunath, TR Saraswathi and CR Ramachandran · 2011
Earlier work this paper cites.
“Scikit-learn: Machine Learning in Python”
F. Pedregosa et al · 2011
Earlier work this paper cites.
“Multiscale convolutional neural networks for vision–based classification of cells”
Pierre Buyssens, Abderrahim Elmoataz and Olivier L\’ezoray · 2012
Earlier work this paper cites.
“Hofbauer cells morphology and density in placentas from normal and pathological gestations”
Charalampos Grigoriadis et al · 2013
Earlier work this paper cites.
“Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering”
Shuiwang Ji · 2013
Earlier work this paper cites.
“Hyperspectral visualization of mass spectrometry imaging data”
Judith Fonville et al · 2013
Earlier work this paper cites.
“The Human Placenta Project: placental structure, development, and function in real time”
Alan Guttmacher, Yvonne Maddox and Catherine Spong · 2014
Cited alongside, same era.
“Placental pathology, perinatal death, neonatal outcome, and neurological development: a systematic review”
Annemiek Roescher, Albert Timmer, Jan Jaap Erwich and Arend Bos · 2014
Cited alongside, same era.
“Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential”
Humayun Irshad, Antoine Veillard, Ludovic Roux and Daniel Racoceanu · 2014
Cited alongside, same era.
“The likeness of fetal growth and newborn size across non-isolated populations in the INTERGROWTH-21 st Project: the Fetal Growth Longitudinal Study and Newborn Cross-Sectional Study”
Jos\’e Villar et al · 2014
Cited alongside, same era.
“International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project”
“Rethinking the inception architecture for computer vision”
Christian Szegedy et al · 2016
Later among the works it cites.
“Xception: Deep learning with depthwise separable convolutions”
Francois Chollet · 2016
Later among the works it cites.
“An insight into morphometric descriptors of cell shape that pertain to regenerative medicine”
Joana Lobo, Eugene Yong-Shun See, Manus Biggs and Abhay Pandit · 2016
Later among the works it cites.
“Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care”
Ugljesa Djuric, Gelareh Zadeh, Kenneth Aldape and Phedias Diamandis · 2017
Later among the works it cites.
“Classification of breast cancer histology images using Convolutional Neural Networks”
Teresa Ara\’ujo et al · 2017
Later among the works it cites.
“Nuclei segmentation in histopathology images using deep neural networks”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jos\’e Villar et al · 2014
Cited alongside, same era.
“Microsoft COCO: Common objects in context”
Tsung-Yi Lin et al · 2014
Cited alongside, same era.
“Adam: A method for stochastic optimization”
Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.
“A review on color normalization and color deconvolution methods in histopathology”
Devrim Onder, Selen Zengin and Sulen Sarioglu · 2014
Cited alongside, same era.
“Placental histology in clinically unexpected severe fetal acidemia at term”
Laura Avagliano et al · 2015
Cited alongside, same era.
“Going deeper with convolutions”
Christian Szegedy et al · 2015
Cited alongside, same era.
“Keras”, https://keras.io , 2015
Francois Chollet · 2015
Cited alongside, same era.
“TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems” Software available from tensorflow.org, 2015
Mart\’n Abadi et al · 2015
Cited alongside, same era.
Peter Naylor, Marick La\’e, Fabien Reyal and Thomas Walter · 2017
Later among the works it cites.
“Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features”
Yan Xu et al · 2017
Later among the works it cites.
“Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images”
Babak Bejnordi et al · 2017
Later among the works it cites.
“Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images”
Le Hou et al · 2017
Later among the works it cites.
“Focal Loss for Dense Object Detection”
Tsung-Yi Lin et al · 2017
Later among the works it cites.
“Hybrid deep autoencoder with curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images”
Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly and Nasir Rajpoot · 2017
Later among the works it cites.
“Inception-v4, inception-resnet and the impact of residual connections on learning”
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke and Alex Alemi · 2017
Later among the works it cites.
“Localization and counting of CD68-labelled macrophages in placentas of normal and preeclamptic women”
Lina Al-khafaji and Malak Al-Yawer · 2017
Later among the works it cites.
“Automated image analysis of placental villi and syncytial knots in histological sections”
Debora Kidron, Ifat Vainer, Yael Fisher and Reuven Sharony · 2017
Later among the works it cites.
“Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis”
Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov and Alexandr Kalinin · 2018
Closest in time.